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Streaming Analytics in the Real World

Cloudera

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. And Cloudera is at the heart of enabling these real-time data driven transformations. .

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Kafka to MongoDB: Building a Streamlined Data Pipeline

Analytics Vidhya

Introduction Data is fuel for the IT industry and the Data Science Project in today’s online world. IT industries rely heavily on real-time insights derived from streaming data sources. Handling and processing the streaming data is the hardest work for Data Analysis.

MongoDB 217
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Real-Time Analytics in the World of Virtual Reality and Live Streaming

Rockset

From a content streaming perspective, our use case is not very different from any other streaming platform. In a traditional streaming application, the content can be streaming in the device but there is no way to know if the user is actually paying attention or even looking at the device.

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Big Data Technologies that Everyone Should Know in 2024

Knowledge Hut

In the world of technology, things are always changing. It is especially true in the world of big data. It is especially true in the world of big data. This article will discuss big data analytics technologies, technologies used in big data, and new big data technologies. What Are Big Data T echnologies?

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Apache Kafka Vs Apache Spark: Know the Differences

Knowledge Hut

A new breed of ‘Fast Data’ architectures has evolved to be stream-oriented, where data is processed as it arrives, providing businesses with a competitive advantage. The demand for stream processing is increasing every day in today’s era. Kafka streams provide true a-record-at-a-time processing capabilities.

Kafka 98
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Fundamentals of Apache Spark

Knowledge Hut

Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. Spark is utilized for Big data analytics and related processing. Additional libraries, built atop the core, allow diverse workloads for streaming, SQL, and machine learning. It can run queries 100x faster.

Scala 98
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Data News — Week 24.08

Christophe Blefari

JVM vs. SQL data engineer — There's a big discussion in the community about what real data engineering is. SQL data engineer — There's a big discussion in the community about what real data engineering is. This week I've participated to a round table about data and did a cool presentation about Engines.

Data Lake 130